Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...
When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...
Why Traditional DPSM and Data Classification Falls Short Most DPSM and data classification tools focus primarily on what exists inside a file, such as financial records, customer data, source code, or ...
EMC Corp. this week brought out software that it said can help users manage unstructured files. The new tool can help users in efforts to comply with government regulations like the Sarbanes-Oxley Act ...
The improved Data Classification module contains Worksheet, Wizard Pages, and more, serving as a consolidation of the aforementioned features, making it easier and more efficient to classify data.
Last year, I undertook the process of ripping my 700+ CD collection to disk. The proper categorization and tagging is a major part of this effort, and fortunately tools like iTunes support looking up ...
New Joint Solution Bridges Data Discovery and Persistent Enforcement, Automating Classification-to-Encryption for Federal Agencies and Regulated EnterprisesWASHINGTON, D.C., July 14, 2026 (GLOBE ...
Businesses spend millions of dollars on security technology such as firewalls, sandboxes and endpoint tools, but so many of the breaches have to do with poor policy ...
The federal government is facing down the challenge of big data with old-school tactics that can leave gaps within data discovery and classification. It’s time to move on to new practices, with modern ...
For all the time that storage managers spend worrying about safeguarding their organization's data, many of them know little about the objects of their obsession. They usually know how much total data ...
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